Flexible and Wearable Ultrasonic Sensor for Assessment of Skeletal Muscle Contractile Properties

AlMohimeed, Ibrahim; Ono, Yuu

doi:10.1109/fleps.2019.8792301

Cited by 5 publications

(9 citation statements)

References 28 publications

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“…The motivation behind the research presented in this thesis is to develop an automatic artery detection, and diameter estimation technique using ultrasound radio-frequency (rf) signals obtained by cost-effective UTs in M-mode, but not brightness mode (B-mode) imaging [26]- [28].…”

Section: Overviewmentioning

confidence: 99%

“…Also, it does not need an operator to hold the UT at a fixed position during the data acquisition. A WUS [24]- [26], [28] can be glued or taped on to the region of interest for ultrasound data acquisitions. Therefore, there is no relative motion between the sensor and the subject which reduces the motion artifact.…”

Section: Problem Statementmentioning

confidence: 99%

“…However, the common carotid artery is a viscoelastic material, whose stress-strain relationship is given by the stress/strain curve (solid blue line) [28]. Furthermore, the nonlinear behavior of the common carotid artery is explained using the Kelvin-Voigt model.…”

Section: Arterial Stiffness and Distensionmentioning

confidence: 99%

“…This pressure applied could deform the original arterial shape and result in the diameter of the collapsed artery which is not very useful in most cases. Thus a flexible WUS proposed in [26], [28], is used in this thesis.…”

Section: Wearable Ultrasonic Sensor (Wus) Systemmentioning

confidence: 99%

“…28 Segmented windows containing (A) proximal wall, (B) distal wall, (C) no boundary for Phantom A obtained with PICUS clinical ultrasound imaging system..... 126…”

mentioning

confidence: 99%

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Automatic Arterial Wall Detection and Diameter Tracking Using M-mode Ultrasound

Venugopal¹

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Research indicate that the ultrasonic monitoring of the artery stiffness aids in early detection of coronary artery disease. One of the challenges in monitoring the stiffness of the artery in mass screening tests is the need for a clinical expert to identify the artery and to estimate the change in diameter in an ultrasound image. In this research, an algorithm to automatically detect artery wall region and estimate systolic and diastolic lumen diameter of the artery is proposed using ultrasound radio-frequency signals acquired with a single ultrasound transducer in M-mode. Detection of the region containing the artery walls is obtained using a machine learning trained classifier. Artery inner walls are identified in the detected region using correlation and peak detection and the lumen diameter is then estimated. The proposed algorithm is first tested on phantom experiments using a clinical ultrasound imaging system with a linear array ultrasonic transducer (UT) probe and then tested on the M-mode signal acquired with human in-vivo subjects using a wearable ultrasound sensor (WUS) composed of a single flexible UT. The machine learning-based artery wall region classifier was able to detect the artery wall region in M-mode signals acquired from the clinical ultrasound acquisition system with an accuracy of 88.9%. The classifier achieved an accuracy of 88.3% in the case of data acquired from WUS. Further, the diameter estimated in the human in-vivo experiment with the proposed technique was within the range of the average diameter of the common carotid artery observed in humans. Thus, the study offers a method for automatic lumen diameter estimation of the artery in M-mode ultrasound signals. The proposed technique will be useful in developing an artery health monitoring system using ultrasound. through the process of researching and writing this thesis. This accomplishment would not have been possible without them. v Table of Contents ABSTRACT .

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Section: Overviewmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

Section: Arterial Stiffness and Distensionmentioning

confidence: 99%

Section: Wearable Ultrasonic Sensor (Wus) Systemmentioning

confidence: 99%

“…28 Segmented windows containing (A) proximal wall, (B) distal wall, (C) no boundary for Phantom A obtained with PICUS clinical ultrasound imaging system..... 126…”

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confidence: 99%

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Automatic Arterial Wall Detection and Diameter Tracking Using M-mode Ultrasound

Venugopal¹

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An Emerging Era: Conformable Ultrasound Electronics

Zhang,

Du,

Kim

et al. 2023

Advanced Materials

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Conformable electronics are regarded as the next generation of personal healthcare monitoring and remote diagnosis devices. In recent years, piezoelectric based conformable ultrasound electronics (cUSE) have been intensively studied due to their unique capabilities, including no‐radiative monitoring, soft tissue imaging, deep signal decoding, wireless power transfer, portability, and compatibility. This review provides a comprehensive understanding of cUSE for use in biomedical and healthcare monitoring systems and a summary of their recent advancements. Following an introduction to the fundamentals of piezoelectrics and ultrasound transducers, the critical parameters for transducer design are discussed. Next, five types of cUSE with their advantages and limitations are highlighted, and the fabrication of cUSE using advanced technologies is discussed. In addition, the working function, acoustic performance, and accomplishments in various applications are thoroughly summarized. We note that application considerations must be given to the tradeoffs between material selection, manufacturing processes, acoustic performance, mechanical integrity, and the entire integrated system. Finally, we highlight current challenges and directions for the development of cUSE, and provide research flow as the roadmap for future research. In conclusion, these advances in the fields of piezoelectric materials, ultrasound transducers, and conformable electronics spark an emerging era of biomedicine and personal healthcare.This article is protected by copyright. All rights reserved

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